{
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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 构建深层神经网络\n",
    "![image.png](attachment:image.png) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import h5py\n",
    "import matplotlib.pyplot as plt\n",
    "import testCases #参见资料包，或者在文章底部copy\n",
    "from dnn_utils import sigmoid, sigmoid_backward, relu, relu_backward #参见资料包\n",
    "import lr_utils #参见资料包，或者在文章底部copy\n",
    "np.random.seed(1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 初始化"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "==============测试initialize_parameters_deep==============\n",
      "W1 = [[ 0.79989897  0.19521314  0.04315498 -0.83337927 -0.12405178]\n",
      " [-0.15865304 -0.03700312 -0.28040323 -0.01959608 -0.21341839]\n",
      " [-0.58757818  0.39561516  0.39413741  0.76454432  0.02237573]\n",
      " [-0.18097724 -0.24389238 -0.69160568  0.43932807 -0.49241241]]\n",
      "b1 = [[0.]\n",
      " [0.]\n",
      " [0.]\n",
      " [0.]]\n",
      "W2 = [[-0.59252326 -0.10282495  0.74307418  0.11835813]\n",
      " [-0.51189257 -0.3564966   0.31262248 -0.08025668]\n",
      " [-0.38441818 -0.11501536  0.37252813  0.98805539]]\n",
      "b2 = [[0.]\n",
      " [0.]\n",
      " [0.]]\n",
      "W3 = [[-0.71829494 -0.36166197 -0.46405457]\n",
      " [-1.39665832 -0.53335157 -0.59113495]]\n",
      "b3 = [[0.]\n",
      " [0.]]\n"
     ]
    }
   ],
   "source": [
    "def initialize_parameters(n_x,n_h,n_y):\n",
    "    \"\"\"\n",
    "    此函数是为了初始化两层网络参数而使用的函数。\n",
    "    参数：\n",
    "        n_x - 输入层节点数量\n",
    "        n_h - 隐藏层节点数量\n",
    "        n_y - 输出层节点数量\n",
    "    \n",
    "    返回：\n",
    "        parameters - 包含你的参数的python字典：\n",
    "            W1 - 权重矩阵,维度为（n_h，n_x）\n",
    "            b1 - 偏向量，维度为（n_h，1）\n",
    "            W2 - 权重矩阵，维度为（n_y，n_h）\n",
    "            b2 - 偏向量，维度为（n_y，1）\n",
    "\n",
    "    \"\"\"\n",
    "    W1 = np.random.randn(n_h, n_x) * 0.01\n",
    "    b1 = np.zeros((n_h, 1))\n",
    "    W2 = np.random.randn(n_y, n_h) * 0.01\n",
    "    b2 = np.zeros((n_y, 1))\n",
    "    \n",
    "    #使用断言确保我的数据格式是正确的\n",
    "    assert(W1.shape == (n_h, n_x))\n",
    "    assert(b1.shape == (n_h, 1))\n",
    "    assert(W2.shape == (n_y, n_h))\n",
    "    assert(b2.shape == (n_y, 1))\n",
    "    \n",
    "    parameters = {\"W1\": W1,\n",
    "                  \"b1\": b1,\n",
    "                  \"W2\": W2,\n",
    "                  \"b2\": b2}\n",
    "    \n",
    "    return parameters  \n",
    "\n",
    "def initialize_parameters_deep(layers_dims):\n",
    "    \"\"\"\n",
    "    此函数是为了初始化多层网络参数而使用的函数。\n",
    "    参数：\n",
    "        layers_dims - 包含我们网络中每个图层的节点数量的列表\n",
    "    \n",
    "    返回：\n",
    "        parameters - 包含参数“W1”，“b1”，...，“WL”，“bL”的字典：\n",
    "                     W1 - 权重矩阵，维度为（layers_dims [1]，layers_dims [1-1]）\n",
    "                     bl - 偏向量，维度为（layers_dims [1]，1）\n",
    "    \"\"\"\n",
    "    np.random.seed(3)\n",
    "    parameters = {}\n",
    "    L = len(layers_dims)\n",
    "    \n",
    "    for l in range(1,L):\n",
    "        parameters[\"W\" + str(l)] = np.random.randn(layers_dims[l], layers_dims[l - 1]) / np.sqrt(layers_dims[l - 1])\n",
    "        parameters[\"b\" + str(l)] = np.zeros((layers_dims[l], 1))\n",
    "        \n",
    "        #确保我要的数据的格式是正确的\n",
    "        assert(parameters[\"W\" + str(l)].shape == (layers_dims[l], layers_dims[l-1]))\n",
    "        assert(parameters[\"b\" + str(l)].shape == (layers_dims[l], 1))\n",
    "        \n",
    "    return parameters\n",
    "#测试initialize_parameters_deep\n",
    "print(\"==============测试initialize_parameters_deep==============\")\n",
    "layers_dims = [5,4,3,2]\n",
    "parameters = initialize_parameters_deep(layers_dims)\n",
    "print(\"W1 = \" + str(parameters[\"W1\"]))\n",
    "print(\"b1 = \" + str(parameters[\"b1\"]))\n",
    "print(\"W2 = \" + str(parameters[\"W2\"]))\n",
    "print(\"b2 = \" + str(parameters[\"b2\"]))\n",
    "print(\"W3 = \" + str(parameters[\"W3\"]))\n",
    "print(\"b3 = \" + str(parameters[\"b3\"]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 前向传播\n",
    "前向传播有以下三个步骤\n",
    "- LINEAR Z=WA+b\n",
    "- LINEAR - >ACTIVATION，其中激活函数将会使用ReLU或Sigmoid。\n",
    "- [LINEAR - > RELU]×（L-1） - > LINEAR - > SIGMOID（整个模型）\n",
    "#### 前向传播-线性部分"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "==============测试linear_forward==============\n",
      "Z = [[ 3.26295337 -1.23429987]]\n"
     ]
    }
   ],
   "source": [
    "def linear_forward(A,W,b):\n",
    "    \"\"\"\n",
    "    实现前向传播的线性部分。\n",
    "\n",
    "    参数：\n",
    "        A - 来自上一层（或输入数据）的激活，维度为(上一层的节点数量，示例的数量）\n",
    "        W - 权重矩阵，numpy数组，维度为（当前图层的节点数量，前一图层的节点数量）\n",
    "        b - 偏向量，numpy向量，维度为（当前图层节点数量，1）\n",
    "\n",
    "    返回：\n",
    "         Z - 激活功能的输入，也称为预激活参数\n",
    "         cache - 一个包含“A”，“W”和“b”的字典，存储这些变量以有效地计算后向传递\n",
    "    \"\"\"\n",
    "    Z = np.dot(W,A) + b\n",
    "    assert(Z.shape == (W.shape[0],A.shape[1]))\n",
    "    cache = (A,W,b)\n",
    "     \n",
    "    return Z,cache\n",
    "#测试linear_forward\n",
    "print(\"==============测试linear_forward==============\")\n",
    "A,W,b = testCases.linear_forward_test_case()\n",
    "Z,linear_cache = linear_forward(A,W,b)\n",
    "print(\"Z = \" + str(Z))"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 前向传播-线性激活部分\n",
    "A=g(Z)=g(WA+b)\n",
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "def linear_activation_forward(A_prev,W,b,activation):\n",
    "    \"\"\"\n",
    "    实现LINEAR-> ACTIVATION 这一层的前向传播\n",
    "\n",
    "    参数：\n",
    "        A_prev - 来自上一层（或输入层）的激活，维度为(上一层的节点数量，示例数）\n",
    "        W - 权重矩阵，numpy数组，维度为（当前层的节点数量，前一层的大小）\n",
    "        b - 偏向量，numpy阵列，维度为（当前层的节点数量，1）\n",
    "        activation - 选择在此层中使用的激活函数名，字符串类型，【\"sigmoid\" | \"relu\"】\n",
    "\n",
    "    返回：\n",
    "        A - 激活函数的输出，也称为激活后的值\n",
    "        cache - 一个包含“linear_cache”和“activation_cache”的字典，我们需要存储它以有效地计算后向传递\n",
    "    \"\"\"\n",
    "    \n",
    "    if activation == \"sigmoid\":\n",
    "        Z, linear_cache = linear_forward(A_prev, W, b)\n",
    "        A, activation_cache = sigmoid(Z)\n",
    "    elif activation == \"relu\":\n",
    "        Z, linear_cache = linear_forward(A_prev, W, b)\n",
    "        A, activation_cache = relu(Z)\n",
    "    \n",
    "    assert(A.shape == (W.shape[0],A_prev.shape[1]))\n",
    "    cache = (linear_cache,activation_cache)\n",
    "    \n",
    "    return A,cache\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 前向传播-L层模型(Relu激活函数)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "==============测试L_model_forward==============\n",
      "AL = [[0.17007265 0.2524272 ]]\n",
      "caches 的长度为 = 2\n"
     ]
    }
   ],
   "source": [
    "def L_model_forward(X,parameters):\n",
    "    \"\"\"\n",
    "    实现[LINEAR-> RELU] *（L-1） - > LINEAR-> SIGMOID计算前向传播，也就是多层网络的前向传播，为后面每一层都执行LINEAR和ACTIVATION\n",
    "    \n",
    "    参数：\n",
    "        X - 数据，numpy数组，维度为（输入节点数量，示例数）\n",
    "        parameters - initialize_parameters_deep（）的输出\n",
    "    \n",
    "    返回：\n",
    "        AL - 最后的激活值\n",
    "        caches - 包含以下内容的缓存列表：\n",
    "                 linear_relu_forward（）的每个cache（有L-1个，索引为从0到L-2）\n",
    "                 linear_sigmoid_forward（）的cache（只有一个，索引为L-1）\n",
    "    \"\"\"\n",
    "    caches = []\n",
    "    A = X\n",
    "    L = len(parameters) // 2\n",
    "    for l in range(1,L):\n",
    "        A_prev = A \n",
    "        A, cache = linear_activation_forward(A_prev, parameters['W' + str(l)], parameters['b' + str(l)], \"relu\")\n",
    "        caches.append(cache)\n",
    "    \n",
    "    AL, cache = linear_activation_forward(A, parameters['W' + str(L)], parameters['b' + str(L)], \"sigmoid\")\n",
    "    caches.append(cache)\n",
    "    \n",
    "    assert(AL.shape == (1,X.shape[1]))\n",
    "    \n",
    "    return AL,caches\n",
    "#测试L_model_forward\n",
    "print(\"==============测试L_model_forward==============\")\n",
    "X,parameters = testCases.L_model_forward_test_case()\n",
    "AL,caches = L_model_forward(X,parameters)\n",
    "print(\"AL = \" + str(AL))\n",
    "print(\"caches 的长度为 = \" + str(len(caches)))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 计算成本"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "==============测试compute_cost==============\n",
      "cost = 0.414931599615397\n"
     ]
    }
   ],
   "source": [
    "def compute_cost(AL,Y):\n",
    "    \"\"\"\n",
    "    实施等式（4）定义的成本函数。\n",
    "\n",
    "    参数：\n",
    "        AL - 与标签预测相对应的概率向量，维度为（1，示例数量）\n",
    "        Y - 标签向量（例如：如果不是猫，则为0，如果是猫则为1），维度为（1，数量）\n",
    "\n",
    "    返回：\n",
    "        cost - 交叉熵成本\n",
    "    \"\"\"\n",
    "    m = Y.shape[1]\n",
    "    cost = -np.sum(np.multiply(np.log(AL),Y) + np.multiply(np.log(1 - AL), 1 - Y)) / m\n",
    "        \n",
    "    cost = np.squeeze(cost)\n",
    "    assert(cost.shape == ())\n",
    "\n",
    "    return cost\n",
    "#测试compute_cost\n",
    "print(\"==============测试compute_cost==============\")\n",
    "Y,AL = testCases.compute_cost_test_case()\n",
    "print(\"cost = \" + str(compute_cost(AL, Y)))\n"
   ]
  },
  {
   "attachments": {
    "image.png": {
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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 反向传播\n",
    "![image.png](attachment:image.png)\n",
    "反向传播有三个步骤\n",
    "- LINEAR 后向计算\n",
    "- LINEAR -> ACTIVATION 后向计算，其中ACTIVATION 计算Relu或者Sigmoid 的结果\n",
    "- [LINEAR -> RELU] × \\times× (L-1) -> LINEAR -> SIGMOID 后向计算 (整个模型)\n",
    "\n",
    "#### 反向传播-线性部分"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "==============测试linear_backward==============\n",
      "dA_prev = [[ 0.51822968 -0.19517421]\n",
      " [-0.40506361  0.15255393]\n",
      " [ 2.37496825 -0.89445391]]\n",
      "dW = [[-0.10076895  1.40685096  1.64992505]]\n",
      "db = [[0.50629448]]\n"
     ]
    }
   ],
   "source": [
    "def linear_backward(dZ,cache):\n",
    "    \"\"\"\n",
    "    为单层实现反向传播的线性部分（第L层）\n",
    "\n",
    "    参数：\n",
    "         dZ - 相对于（当前第l层的）线性输出的成本梯度\n",
    "         cache - 来自当前层前向传播的值的元组（A_prev，W，b）\n",
    "\n",
    "    返回：\n",
    "         dA_prev - 相对于激活（前一层l-1）的成本梯度，与A_prev维度相同\n",
    "         dW - 相对于W（当前层l）的成本梯度，与W的维度相同\n",
    "         db - 相对于b（当前层l）的成本梯度，与b维度相同\n",
    "    \"\"\"\n",
    "    A_prev, W, b = cache\n",
    "    m = A_prev.shape[1]\n",
    "    dW = np.dot(dZ, A_prev.T) / m\n",
    "    db = np.sum(dZ, axis=1, keepdims=True) / m\n",
    "    dA_prev = np.dot(W.T, dZ)\n",
    "    \n",
    "    assert (dA_prev.shape == A_prev.shape)\n",
    "    assert (dW.shape == W.shape)\n",
    "    assert (db.shape == b.shape)\n",
    "    \n",
    "    return dA_prev, dW, db\n",
    "#测试linear_backward\n",
    "print(\"==============测试linear_backward==============\")\n",
    "dZ, linear_cache = testCases.linear_backward_test_case()\n",
    "\n",
    "dA_prev, dW, db = linear_backward(dZ, linear_cache)\n",
    "print (\"dA_prev = \"+ str(dA_prev))\n",
    "print (\"dW = \" + str(dW))\n",
    "print (\"db = \" + str(db))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 反向传播-线性激活部分\n",
    "调用下列函数\n",
    "dZ = sigmoid_backward(dA, activation_cache)\n",
    "dZ = relu_backward(dA, activation_cache)\n",
    "实现$dZ^{[l]} = dA^{[l]} * g'(Z^{[l]})$ g(z)为激活函数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "==============测试linear_activation_backward==============\n",
      "sigmoid:\n",
      "dA_prev = [[ 0.11017994  0.01105339]\n",
      " [ 0.09466817  0.00949723]\n",
      " [-0.05743092 -0.00576154]]\n",
      "dW = [[ 0.10266786  0.09778551 -0.01968084]]\n",
      "db = [[-0.05729622]]\n",
      "\n",
      "relu:\n",
      "dA_prev = [[ 0.44090989  0.        ]\n",
      " [ 0.37883606  0.        ]\n",
      " [-0.2298228   0.        ]]\n",
      "dW = [[ 0.44513824  0.37371418 -0.10478989]]\n",
      "db = [[-0.20837892]]\n"
     ]
    }
   ],
   "source": [
    "def linear_activation_backward(dA,cache,activation=\"relu\"):\n",
    "    \"\"\"\n",
    "    实现LINEAR-> ACTIVATION层的后向传播。\n",
    "    \n",
    "    参数：\n",
    "         dA - 当前层l的激活后的梯度值\n",
    "         cache - 我们存储的用于有效计算反向传播的值的元组（值为linear_cache，activation_cache）\n",
    "         activation - 要在此层中使用的激活函数名，字符串类型，【\"sigmoid\" | \"relu\"】\n",
    "    返回：\n",
    "         dA_prev - 相对于激活（前一层l-1）的成本梯度值，与A_prev维度相同\n",
    "         dW - 相对于W（当前层l）的成本梯度值，与W的维度相同\n",
    "         db - 相对于b（当前层l）的成本梯度值，与b的维度相同\n",
    "    \"\"\"\n",
    "    linear_cache, activation_cache = cache\n",
    "    if activation == \"relu\":\n",
    "        dZ = relu_backward(dA, activation_cache)\n",
    "        dA_prev, dW, db = linear_backward(dZ, linear_cache)\n",
    "    elif activation == \"sigmoid\":\n",
    "        dZ = sigmoid_backward(dA, activation_cache)\n",
    "        dA_prev, dW, db = linear_backward(dZ, linear_cache)\n",
    "    \n",
    "    return dA_prev,dW,db\n",
    "#测试linear_activation_backward\n",
    "print(\"==============测试linear_activation_backward==============\")\n",
    "AL, linear_activation_cache = testCases.linear_activation_backward_test_case()\n",
    " \n",
    "dA_prev, dW, db = linear_activation_backward(AL, linear_activation_cache, activation = \"sigmoid\")\n",
    "print (\"sigmoid:\")\n",
    "print (\"dA_prev = \"+ str(dA_prev))\n",
    "print (\"dW = \" + str(dW))\n",
    "print (\"db = \" + str(db) + \"\\n\")\n",
    " \n",
    "dA_prev, dW, db = linear_activation_backward(AL, linear_activation_cache, activation = \"relu\")\n",
    "print (\"relu:\")\n",
    "print (\"dA_prev = \"+ str(dA_prev))\n",
    "print (\"dW = \" + str(dW))\n",
    "print (\"db = \" + str(db))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 反向传播-L层模型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "==============测试L_model_backward==============\n",
      "dW1 = [[0.41010002 0.07807203 0.13798444 0.10502167]\n",
      " [0.         0.         0.         0.        ]\n",
      " [0.05283652 0.01005865 0.01777766 0.0135308 ]]\n",
      "db1 = [[-0.22007063]\n",
      " [ 0.        ]\n",
      " [-0.02835349]]\n",
      "dA1 = [[ 0.          0.52257901]\n",
      " [ 0.         -0.3269206 ]\n",
      " [ 0.         -0.32070404]\n",
      " [ 0.         -0.74079187]]\n"
     ]
    }
   ],
   "source": [
    "def L_model_backward(AL,Y,caches):\n",
    "    \"\"\"\n",
    "    对[LINEAR-> RELU] *（L-1） - > LINEAR - > SIGMOID组执行反向传播，就是多层网络的向后传播\n",
    "    \n",
    "    参数：\n",
    "     AL - 概率向量，正向传播的输出（L_model_forward（））\n",
    "     Y - 标签向量（例如：如果不是猫，则为0，如果是猫则为1），维度为（1，数量）\n",
    "     caches - 包含以下内容的cache列表：\n",
    "                 linear_activation_forward（\"relu\"）的cache，不包含输出层\n",
    "                 linear_activation_forward（\"sigmoid\"）的cache\n",
    "    \n",
    "    返回：\n",
    "     grads - 具有梯度值的字典\n",
    "              grads [“dA”+ str（l）] = ...\n",
    "              grads [“dW”+ str（l）] = ...\n",
    "              grads [“db”+ str（l）] = ...\n",
    "    \"\"\"\n",
    "    grads = {}\n",
    "    L = len(caches)\n",
    "    m = AL.shape[1]\n",
    "    Y = Y.reshape(AL.shape)\n",
    "    dAL = - (np.divide(Y, AL) - np.divide(1 - Y, 1 - AL))\n",
    "    \n",
    "    current_cache = caches[L-1]\n",
    "    grads[\"dA\" + str(L)], grads[\"dW\" + str(L)], grads[\"db\" + str(L)] = linear_activation_backward(dAL, current_cache, \"sigmoid\")\n",
    "    \n",
    "    for l in reversed(range(L-1)):\n",
    "        current_cache = caches[l]\n",
    "        dA_prev_temp, dW_temp, db_temp = linear_activation_backward(grads[\"dA\" + str(l + 2)], current_cache, \"relu\")\n",
    "        grads[\"dA\" + str(l + 1)] = dA_prev_temp\n",
    "        grads[\"dW\" + str(l + 1)] = dW_temp\n",
    "        grads[\"db\" + str(l + 1)] = db_temp\n",
    "    \n",
    "    return grads\n",
    "#测试L_model_backward\n",
    "print(\"==============测试L_model_backward==============\")\n",
    "AL, Y_assess, caches = testCases.L_model_backward_test_case()\n",
    "grads = L_model_backward(AL, Y_assess, caches)\n",
    "print (\"dW1 = \"+ str(grads[\"dW1\"]))\n",
    "print (\"db1 = \"+ str(grads[\"db1\"]))\n",
    "print (\"dA1 = \"+ str(grads[\"dA1\"]))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 更新参数\n",
    "$$W^{[l]} = W^{[l]} - \\alpha \\text{ } dW^{[l]}$$\n",
    "$$b^{[l]} = b^{[l]} - \\alpha \\text{ } db^{[l]}$$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "==============测试update_parameters==============\n",
      "W1 = [[-0.59562069 -0.09991781 -2.14584584  1.82662008]\n",
      " [-1.76569676 -0.80627147  0.51115557 -1.18258802]\n",
      " [-1.0535704  -0.86128581  0.68284052  2.20374577]]\n",
      "b1 = [[-0.04659241]\n",
      " [-1.28888275]\n",
      " [ 0.53405496]]\n",
      "W2 = [[-0.55569196  0.0354055   1.32964895]]\n",
      "b2 = [[-0.84610769]]\n"
     ]
    }
   ],
   "source": [
    "def update_parameters(parameters, grads, learning_rate):\n",
    "    \"\"\"\n",
    "    使用梯度下降更新参数\n",
    "    \n",
    "    参数：\n",
    "     parameters - 包含你的参数的字典\n",
    "     grads - 包含梯度值的字典，是L_model_backward的输出\n",
    "    \n",
    "    返回：\n",
    "     parameters - 包含更新参数的字典\n",
    "                   参数[“W”+ str（l）] = ...\n",
    "                   参数[“b”+ str（l）] = ...\n",
    "    \"\"\"\n",
    "    L = len(parameters) // 2 #整除\n",
    "    for l in range(L):\n",
    "        parameters[\"W\" + str(l + 1)] = parameters[\"W\" + str(l + 1)] - learning_rate * grads[\"dW\" + str(l + 1)]\n",
    "        parameters[\"b\" + str(l + 1)] = parameters[\"b\" + str(l + 1)] - learning_rate * grads[\"db\" + str(l + 1)]\n",
    "        \n",
    "    return parameters\n",
    "#测试update_parameters\n",
    "print(\"==============测试update_parameters==============\")\n",
    "parameters, grads = testCases.update_parameters_test_case()\n",
    "parameters = update_parameters(parameters, grads, 0.1)\n",
    " \n",
    "print (\"W1 = \"+ str(parameters[\"W1\"]))\n",
    "print (\"b1 = \"+ str(parameters[\"b1\"]))\n",
    "print (\"W2 = \"+ str(parameters[\"W2\"]))\n",
    "print (\"b2 = \"+ str(parameters[\"b2\"]))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 实现一个双层神经网络"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "第 0 次迭代，成本值为： 0.6930497356599891\n",
      "第 100 次迭代，成本值为： 0.6464320953428849\n",
      "第 200 次迭代，成本值为： 0.6325140647912677\n",
      "第 300 次迭代，成本值为： 0.6015024920354665\n",
      "第 400 次迭代，成本值为： 0.5601966311605748\n",
      "第 500 次迭代，成本值为： 0.515830477276473\n",
      "第 600 次迭代，成本值为： 0.4754901313943325\n",
      "第 700 次迭代，成本值为： 0.4339163151225749\n",
      "第 800 次迭代，成本值为： 0.4007977536203889\n",
      "第 900 次迭代，成本值为： 0.3580705011323798\n",
      "第 1000 次迭代，成本值为： 0.3394281538366412\n",
      "第 1100 次迭代，成本值为： 0.3052753636196264\n",
      "第 1200 次迭代，成本值为： 0.27491377282130175\n",
      "第 1300 次迭代，成本值为： 0.24681768210614827\n",
      "第 1400 次迭代，成本值为： 0.19850735037466088\n",
      "第 1500 次迭代，成本值为： 0.1744831811255665\n",
      "第 1600 次迭代，成本值为： 0.17080762978096273\n",
      "第 1700 次迭代，成本值为： 0.11306524562164733\n",
      "第 1800 次迭代，成本值为： 0.09629426845937147\n",
      "第 1900 次迭代，成本值为： 0.08342617959726861\n",
      "第 2000 次迭代，成本值为： 0.07439078704319081\n",
      "第 2100 次迭代，成本值为： 0.06630748132267929\n",
      "第 2200 次迭代，成本值为： 0.059193295010381654\n",
      "第 2300 次迭代，成本值为： 0.05336140348560556\n",
      "第 2400 次迭代，成本值为： 0.04855478562877018\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "def two_layer_model(X,Y,layers_dims,learning_rate=0.0075,num_iterations=3000,print_cost=False,isPlot=True):\n",
    "    \"\"\"\n",
    "    实现一个两层的神经网络，【LINEAR->RELU】 -> 【LINEAR->SIGMOID】\n",
    "    参数：\n",
    "        X - 输入的数据，维度为(n_x，例子数)\n",
    "        Y - 标签，向量，0为非猫，1为猫，维度为(1,数量)\n",
    "        layers_dims - 层数的向量，维度为(n_y,n_h,n_y)\n",
    "        learning_rate - 学习率\n",
    "        num_iterations - 迭代的次数\n",
    "        print_cost - 是否打印成本值，每100次打印一次\n",
    "        isPlot - 是否绘制出误差值的图谱\n",
    "    返回:\n",
    "        parameters - 一个包含W1，b1，W2，b2的字典变量\n",
    "    \"\"\"\n",
    "    np.random.seed(1)\n",
    "    grads = {}\n",
    "    costs = []\n",
    "    (n_x,n_h,n_y) = layers_dims\n",
    "    \n",
    "    \"\"\"\n",
    "    初始化参数\n",
    "    \"\"\"\n",
    "    parameters = initialize_parameters(n_x, n_h, n_y)\n",
    "    \n",
    "    W1 = parameters[\"W1\"]\n",
    "    b1 = parameters[\"b1\"]\n",
    "    W2 = parameters[\"W2\"]\n",
    "    b2 = parameters[\"b2\"]\n",
    "    \n",
    "    \"\"\"\n",
    "    开始进行迭代\n",
    "    \"\"\"\n",
    "    for i in range(0,num_iterations):\n",
    "        #前向传播\n",
    "        A1, cache1 = linear_activation_forward(X, W1, b1, \"relu\")\n",
    "        A2, cache2 = linear_activation_forward(A1, W2, b2, \"sigmoid\")\n",
    "        \n",
    "        #计算成本\n",
    "        cost = compute_cost(A2,Y)\n",
    "        \n",
    "        #后向传播\n",
    "        ##初始化后向传播\n",
    "        dA2 = - (np.divide(Y, A2) - np.divide(1 - Y, 1 - A2))\n",
    "        \n",
    "        ##向后传播，输入：“dA2，cache2，cache1”。 输出：“dA1，dW2，db2;还有dA0（未使用），dW1，db1”。\n",
    "        dA1, dW2, db2 = linear_activation_backward(dA2, cache2, \"sigmoid\")\n",
    "        dA0, dW1, db1 = linear_activation_backward(dA1, cache1, \"relu\")\n",
    "        \n",
    "        ##向后传播完成后的数据保存到grads\n",
    "        grads[\"dW1\"] = dW1\n",
    "        grads[\"db1\"] = db1\n",
    "        grads[\"dW2\"] = dW2\n",
    "        grads[\"db2\"] = db2\n",
    "        \n",
    "        #更新参数\n",
    "        parameters = update_parameters(parameters,grads,learning_rate)\n",
    "        W1 = parameters[\"W1\"]\n",
    "        b1 = parameters[\"b1\"]\n",
    "        W2 = parameters[\"W2\"]\n",
    "        b2 = parameters[\"b2\"]\n",
    "        \n",
    "        #打印成本值，如果print_cost=False则忽略\n",
    "        if i % 100 == 0:\n",
    "            #记录成本\n",
    "            costs.append(cost)\n",
    "            #是否打印成本值\n",
    "            if print_cost:\n",
    "                print(\"第\", i ,\"次迭代，成本值为：\" ,np.squeeze(cost))\n",
    "    #迭代完成，根据条件绘制图\n",
    "    if isPlot:\n",
    "        plt.plot(np.squeeze(costs))\n",
    "        plt.ylabel('cost')\n",
    "        plt.xlabel('iterations (per tens)')\n",
    "        plt.title(\"Learning rate =\" + str(learning_rate))\n",
    "        plt.show()\n",
    "    \n",
    "    #返回parameters\n",
    "    return parameters\n",
    "train_set_x_orig , train_set_y , test_set_x_orig , test_set_y , classes = lr_utils.load_dataset()\n",
    "\n",
    "train_x_flatten = train_set_x_orig.reshape(train_set_x_orig.shape[0], -1).T \n",
    "test_x_flatten = test_set_x_orig.reshape(test_set_x_orig.shape[0], -1).T\n",
    "\n",
    "train_x = train_x_flatten / 255\n",
    "train_y = train_set_y\n",
    "test_x = test_x_flatten / 255\n",
    "test_y = test_set_y\n",
    "n_x = 12288\n",
    "n_h = 7\n",
    "n_y = 1\n",
    "layers_dims = (n_x,n_h,n_y)\n",
    "\n",
    "parameters = two_layer_model(train_x, train_set_y, layers_dims = (n_x, n_h, n_y), num_iterations = 2500, print_cost=True,isPlot=True)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 利用双层神经网络进行预测"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "准确度为: 1.0\n",
      "准确度为: 0.72\n"
     ]
    }
   ],
   "source": [
    "def predict(X, y, parameters):\n",
    "    \"\"\"\n",
    "    该函数用于预测L层神经网络的结果，当然也包含两层\n",
    "    \n",
    "    参数：\n",
    "     X - 测试集\n",
    "     y - 标签\n",
    "     parameters - 训练模型的参数\n",
    "    \n",
    "    返回：\n",
    "     p - 给定数据集X的预测\n",
    "    \"\"\"\n",
    "    \n",
    "    m = X.shape[1]\n",
    "    n = len(parameters) // 2 # 神经网络的层数\n",
    "    p = np.zeros((1,m))\n",
    "    \n",
    "    #根据参数前向传播\n",
    "    probas, caches = L_model_forward(X, parameters)\n",
    "    \n",
    "    for i in range(0, probas.shape[1]):\n",
    "        if probas[0,i] > 0.5:\n",
    "            p[0,i] = 1\n",
    "        else:\n",
    "            p[0,i] = 0\n",
    "    \n",
    "    print(\"准确度为: \"  + str(float(np.sum((p == y))/m)))\n",
    "        \n",
    "    return p\n",
    "\n",
    "predictions_train = predict(train_x, train_y, parameters) #训练集\n",
    "predictions_test = predict(test_x, test_y, parameters) #测试集"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 搭建多层神经网络"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "第 0 次迭代，成本值为： 0.715731513413713\n",
      "第 100 次迭代，成本值为： 0.6747377593469114\n",
      "第 200 次迭代，成本值为： 0.6603365433622127\n",
      "第 300 次迭代，成本值为： 0.6462887802148751\n",
      "第 400 次迭代，成本值为： 0.6298131216927773\n",
      "第 500 次迭代，成本值为： 0.606005622926534\n",
      "第 600 次迭代，成本值为： 0.5690041263975135\n",
      "第 700 次迭代，成本值为： 0.519796535043806\n",
      "第 800 次迭代，成本值为： 0.46415716786282285\n",
      "第 900 次迭代，成本值为： 0.40842030048298916\n",
      "第 1000 次迭代，成本值为： 0.37315499216069026\n",
      "第 1100 次迭代，成本值为： 0.30572374573047106\n",
      "第 1200 次迭代，成本值为： 0.2681015284774083\n",
      "第 1300 次迭代，成本值为： 0.2387247482767269\n",
      "第 1400 次迭代，成本值为： 0.20632263257914718\n",
      "第 1500 次迭代，成本值为： 0.17943886927493627\n",
      "第 1600 次迭代，成本值为： 0.15798735818801798\n",
      "第 1700 次迭代，成本值为： 0.14240413012274702\n",
      "第 1800 次迭代，成本值为： 0.12865165997889808\n",
      "第 1900 次迭代，成本值为： 0.1124431499816792\n",
      "第 2000 次迭代，成本值为： 0.08505631034988713\n",
      "第 2100 次迭代，成本值为： 0.057583911986210594\n",
      "第 2200 次迭代，成本值为： 0.044567534547012316\n",
      "第 2300 次迭代，成本值为： 0.038082751666012965\n",
      "第 2400 次迭代，成本值为： 0.03441074901842668\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "def L_layer_model(X, Y, layers_dims, learning_rate=0.0075, num_iterations=3000, print_cost=False,isPlot=True):\n",
    "    \"\"\"\n",
    "    实现一个L层神经网络：[LINEAR-> RELU] *（L-1） - > LINEAR-> SIGMOID。\n",
    "    \n",
    "    参数：\n",
    "\t    X - 输入的数据，维度为(n_x，例子数)\n",
    "        Y - 标签，向量，0为非猫，1为猫，维度为(1,数量)\n",
    "        layers_dims - 层数的向量，维度为(n_y,n_h,···,n_h,n_y)\n",
    "        learning_rate - 学习率\n",
    "        num_iterations - 迭代的次数\n",
    "        print_cost - 是否打印成本值，每100次打印一次\n",
    "        isPlot - 是否绘制出误差值的图谱\n",
    "    \n",
    "    返回：\n",
    "     parameters - 模型学习的参数。 然后他们可以用来预测。\n",
    "    \"\"\"\n",
    "    np.random.seed(1)\n",
    "    costs = []\n",
    "    \n",
    "    parameters = initialize_parameters_deep(layers_dims)\n",
    "    \n",
    "    for i in range(0,num_iterations):\n",
    "        AL , caches = L_model_forward(X,parameters)\n",
    "        \n",
    "        cost = compute_cost(AL,Y)\n",
    "        \n",
    "        grads = L_model_backward(AL,Y,caches)\n",
    "        \n",
    "        parameters = update_parameters(parameters,grads,learning_rate)\n",
    "        \n",
    "        #打印成本值，如果print_cost=False则忽略\n",
    "        if i % 100 == 0:\n",
    "            #记录成本\n",
    "            costs.append(cost)\n",
    "            #是否打印成本值\n",
    "            if print_cost:\n",
    "                print(\"第\", i ,\"次迭代，成本值为：\" ,np.squeeze(cost))\n",
    "    #迭代完成，根据条件绘制图\n",
    "    if isPlot:\n",
    "        plt.plot(np.squeeze(costs))\n",
    "        plt.ylabel('cost')\n",
    "        plt.xlabel('iterations (per tens)')\n",
    "        plt.title(\"Learning rate =\" + str(learning_rate))\n",
    "        plt.show()\n",
    "    return parameters\n",
    "train_set_x_orig , train_set_y , test_set_x_orig , test_set_y , classes = lr_utils.load_dataset()\n",
    "\n",
    "train_x_flatten = train_set_x_orig.reshape(train_set_x_orig.shape[0], -1).T \n",
    "test_x_flatten = test_set_x_orig.reshape(test_set_x_orig.shape[0], -1).T\n",
    "\n",
    "train_x = train_x_flatten / 255\n",
    "train_y = train_set_y\n",
    "test_x = test_x_flatten / 255\n",
    "test_y = test_set_y\n",
    "layers_dims = [12288, 20, 7, 5, 1] #  5-layer model\n",
    "parameters = L_layer_model(train_x, train_y, layers_dims, num_iterations = 2500, print_cost = True,isPlot=True)\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 利用多层神经网络进行预测"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "准确度为: 0.9952153110047847\n",
      "准确度为: 0.78\n"
     ]
    }
   ],
   "source": [
    "pred_train = predict(train_x, train_y, parameters) #训练集\n",
    "pred_test = predict(test_x, test_y, parameters) #测试集"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 看哪些图像被错误标记了"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2880x2880 with 11 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "def print_mislabeled_images(classes, X, y, p):\n",
    "    \"\"\"\n",
    "\t绘制预测和实际不同的图像。\n",
    "\t    X - 数据集\n",
    "\t    y - 实际的标签\n",
    "\t    p - 预测\n",
    "    \"\"\"\n",
    "    a = p + y\n",
    "    mislabeled_indices = np.asarray(np.where(a == 1))\n",
    "    plt.rcParams['figure.figsize'] = (40.0, 40.0) # set default size of plots\n",
    "    num_images = len(mislabeled_indices[0])\n",
    "    for i in range(num_images):\n",
    "        index = mislabeled_indices[1][i]\n",
    "        \n",
    "        plt.subplot(2, num_images, i + 1)\n",
    "        plt.imshow(X[:,index].reshape(64,64,3), interpolation='nearest')\n",
    "        plt.axis('off')\n",
    "        plt.title(\"Prediction: \" + classes[int(p[0,index])].decode(\"utf-8\") + \" \\n Class: \" + classes[y[0,index]].decode(\"utf-8\"))\n",
    "\n",
    "\n",
    "print_mislabeled_images(classes, test_x, test_y, pred_test)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
